JOURNAL ARTICLE
Numerological Heuristics and Credit Risk in Peer-to-Peer Lending.
Published In: Information Systems Research (INFORMS), 2023, v. 34, n. 4. P. 1744 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Hu, Maggie Rong; Li, Xiaoyang; Shi, Yang; Zhang, Xiaoquan 3 of 3
Abstract
The article investigates how different numerological heuristics—specifically the round-number heuristic and the lucky-number heuristic—affect borrowers' funding success and loan repayment performance in peer-to-peer (P2P) lending. Using detailed data from a major Chinese P2P lending platform, it finds that borrowers who use the round-number heuristic, which simplifies decision-making by choosing round loan amounts, experience lower funding success rates and higher delinquency rates. Conversely, borrowers employing the lucky-number heuristic, which caters to lenders' superstitious preferences for the number eight (and avoidance of four), achieve higher funding success and better repayment outcomes. These findings distinguish heuristics by their underlying motives—cognition-conserving versus catering—and demonstrate that heuristic choice provides meaningful predictive information for credit risk assessment, offering practical implications for lenders and platform operators in improving underwriting and loan screening.
Additional Information
- Source:Information Systems Research (INFORMS). 2023/12, Vol. 34, Issue 4, p1744
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:1047-7047
- DOI:10.1287/isre.2023.1202
- Accession Number:174317151
- Copyright Statement:Copyright of Information Systems Research (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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